Rox Partner

Data Engineer

• Define, evolve and disseminate the Data and Artificial Intelligence Reference Architecture, establishing standards, frameworks and best practices across the group.
• Diagnose the current Data and AI landscape and propose scalable, resilient architectures aligned with business strategy.
• Lead the evolution of the corporate data platform based on Databricks, ensuring scalability, governance and high availability.
• Design and evolve the corporate AI Agents platform, promoting the use of Generative AI and AI-First architectures to accelerate solution development.
• Define standards for ingestion, transformation, integration, modeling, quality, security, governance and data provisioning.
• Implement and promote Data Mesh, Data as a Product and Federated Governance practices, enabling domain autonomy with shared corporate standards.
• Design and develop reusable components, pipelines, models, AI agents, frameworks and accelerators to optimize squad delivery.
• Structure and evolve a corporate marketplace for sharing data products, models, agents, components and reusable assets.
• Provide technical leadership for the architecture and implementation of strategic Data and Artificial Intelligence initiatives, ensuring compliance with corporate guidelines.
• Serve as a technical reference for Data Engineering, Data Science, Analytics and AI teams, promoting best practices, architectural reviews and continuous improvement.
• Collaborate with Engineering, Cloud, Infrastructure, Security, Governance, Product and Business teams to build a modern, secure platform prepared for organizational growth.
• Keep up with trends, technologies and best practices related to Data Architecture, Generative AI, MLOps, DataOps and Platform Engineering, fostering continuous innovation.

Data Architect Specialist – Databricks, AI

Business Intelligence Developer

• Join our Data team as a Mid-level Data Analyst
• Work on Business Intelligence and Data Engineering projects
• Develop, optimize, and troubleshoot complex SQL queries
• Build tables and data pipelines using GCP and Power BI
• Collaborate with other departments to gather requirements and develop analytical solutions

Mid-level Data Analyst – Power BI, GCP

Data Scientist

• Develop, validate, monitor, and evolve statistical, predictive, and Machine Learning models to support strategic business initiatives
• Explore, analyze, and interpret large volumes of structured and unstructured data, turning them into actionable insights for decision-making
• Conduct analytical studies and build models to understand customer behavior, identify patterns, and generate business opportunities
• Design and implement scalable analytical solutions, ensuring result quality, efficiency, and reliability
• Perform exploratory data analysis, hypothesis testing, and impact assessments to support strategic decisions
• Identify opportunities to optimize processes using Data Science, Statistics, and Artificial Intelligence techniques
• Work with data from various internal and external sources, ensuring integration, consistency, and data quality
• Collaborate with Business, Data Engineering, and Technology teams to understand requirements and translate challenges into analytical solutions
• Monitor the performance of models in production and propose continuous improvements to ensure accuracy and efficiency
• Research, evaluate, and apply new methodologies, algorithms, and technologies related to Artificial Intelligence, Machine Learning, and Analytics to promote innovation and advance data solutions.

Senior Data Scientist

Backend Engineer

• Realizar o deploy, orquestração e sustentação de aplicações de IA em ambientes produtivos de alta disponibilidade;
• Desenvolver e manter integrações complexas entre sistemas utilizando APIs REST/GraphQL, API Gateways e Load Balancers;
• Construir pipelines e fluxos de processamento de dados para aplicações de IA utilizando Python em ambiente AWS;
• Projetar, otimizar e sustentar arquiteturas baseadas em Agentic AI e comunicação Agent-to-Agent (A2A);
• Implementar e dar suporte a integrações utilizando MCP (Model Context Protocol);
• Atuar na evolução e manutenção de fluxos de OCR e extração de dados não estruturados utilizando LLMs;
• Criar, gerenciar e evoluir dashboards avançados de monitoramento e observabilidade, garantindo a saúde dos modelos, performance de inferência, disponibilidade das aplicações e controle de custos operacionais utilizando Grafana, Rancher e ferramentas correlatas;
• Monitorar e otimizar aplicações de IA em produção, garantindo escalabilidade, estabilidade e eficiência operacional;
• Identificar e resolver problemas de performance, gargalos e falhas em pipelines de IA;
• Trabalhar em conjunto com times multidisciplinares de engenharia, dados, arquitetura e produto

Engenheiro de AI Ops – Desenvolvedor Backend, Python

Supply Chain

• Lead the definition of the enterprise Data and Artificial Intelligence architecture for the entire Supply Chain, ensuring scalability, governance and high availability of solutions.
• Define architecture standards for ingestion, processing, storage and consumption of data coming from SAP, legacy systems, corporate applications, spreadsheets and other business sources.
• Design Data Lakes, Data Warehouses, Data Products and event-driven architectures using Google Cloud Platform services.
• Act as the main technical reference between business areas, Data Engineering, Analytics, Data Science and Technology, translating operational challenges into technological solutions.
• Define architectures for Artificial Intelligence, Machine Learning and Generative AI applications focused on Supply Chain.
• Develop strategies for demand forecasting, inventory optimization, loss identification, replenishment planning, logistics management and operational efficiency using predictive models and AI.
• Design modern data pipelines using DataOps, MLOps and CI/CD best practices.
• Ensure adherence to corporate policies for security, governance, data quality and observability.
• Define integration strategies between Data, AI, SAP, APIs and other corporate systems.
• Drive the continuous evolution of the data platform, proposing new technologies and architectures aligned with market best practices.
• Support the construction of the technology roadmap for the area, identifying opportunities for innovation and value creation for the business.
• Conduct technical assessments (As-Is and To-Be), proposing scalable architectures to support operational growth over the coming years.
• Influence strategic decisions related to the evolution of the company’s data and Artificial Intelligence platform.

Senior Data Architect – GCP, AI, Supply Chain

• Atuar na construção, manutenção e evolução de soluções de dados e analytics no ecossistema Azure
• Desenvolver, automatizar e monitorar pipelines de ingestão, transformação e disponibilização de dados
• Modelar bases analíticas para consumo em Power BI e Qlik
• Criar e manter dashboards, painéis gerenciais e relatórios analíticos com foco em performance, usabilidade e visão executiva
• Traduzir necessidades de negócio em indicadores, métricas e análises acionáveis
• Garantir a qualidade, integridade e governança dos dados ao longo de todo o fluxo
• Trabalhar em parceria com times de tecnologia, negócio, controladoria, operações e liderança
• Identificar oportunidades de melhoria em processos, automações e arquitetura de dados
• Apoiar a definição e padronização de KPIs, regras de negócio e documentação técnica/funcional
• Atuar na sustentação e evolução do ambiente de BI, promovendo boas práticas de modelagem e visualização.

Engenheiro de Dados Sênior

• Continuously monitor batch, streaming and on-demand data pipelines to ensure availability and data quality.
• Identify, analyze and resolve operational incidents and critical failures in data environments.
• Perform advanced troubleshooting by analyzing logs, metrics and alerts on GCP platforms.
• Monitor and support data workflows, including DAGs, reprocessing, dependencies, and load validations.
• Track execution of processes in Dataproc, Spark, BigQuery and other components of the data architecture.
• Collaborate with Data Engineering, Architecture, Governance and Business teams to resolve issues and drive continuous improvements.
• Contribute to the stability, reliability and evolution of data environments.
• Prepare and maintain incident documentation, root cause analyses (RCA), operational procedures and action plans.
• Participate in automation, observability and operational process optimization initiatives.

Senior Data Engineer – DBT

• Monitorar de forma contínua os pipelines de dados (batch e on-demand)
• Atuar em falhas operacionais e incidentes críticos
• Realizar análise de logs e troubleshooting em Dataproc, pipelines e DAGs
• Acompanhar cargas, reprocessamentos e validações de dados
• Manter interface com os times de Engenharia, Arquitetura, Governança e Negócio
• Apoiar a estabilização dos ambientes e a melhoria contínua
• Documentar incidentes, causas raiz e planos de ação